Marco Ramponi

Developer Educator at AssemblyAI

What AI Music Generators Can Do (And How They Do It)
What AI Music Generators Can Do (And How They Do It)

Text-to-Music Models are advancing rapidly with the recent release of new platforms for AI-generated music. This guide focuses on MusicLM, MusicGen, and Stable Audio, exploring the technical breakthroughs and challenges in creating music with AI.

Residual Vector Quantization RVQ for Neural Compression
What is Residual Vector Quantization?

Neural Audio Compression methods based on Residual Vector Quantization are reshaping the landscape of modern audio codecs. In this guide, learn the basic ideas behind RVQ and how it enhances Neural Compression.

Why Language Models Became Large Language Models And The Hurdles In Developing LLM-based Applications
Why Language Models Became Large Language Models And The Hurdles In Developing LLM-based Applications

What’s the difference between Language Models and Large Language Models? Let’s understand AI development trends and the difficulties of integrating LLMs into real-world applications.

How RLHF Models Works - Reinforcement Learning From Human Feedback
How RLHF Preference Model Tuning Works (And How Things May Go Wrong)

Large Language Models like ChatGPT are trained with Reinforcement Learning From Human Feedback (RLHF) to learn human preferences. Let’s uncover how RLHF works and survey its current strongest limitations.

Recent developments in Generative AI for Audio
Recent developments in Generative AI for Audio

The spotlight has been on language and images for Generative AI, but there's been a lot of recent progress in the audio domain. Learn everything you need to know about generative audio models in this article.